Data communication processing method and device

ABSTRACT

Provided are a data communication processing method and device. The method includes: acquiring a modulation order and a target code rate; calculating an intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N′info; determining a transport block size (TBS) according to the quantized intermediate number N′info.

CROSS-REFERENCE TO RELATED APPLICATIONS

The present disclosure claims the benefit of priority under 35 U.S.C. § 120 as a continuation of PCT Application No. PCT/CN2019/074813, filed on Feb. 12, 2019, which claims priority to Chinese patent application No. 201810147596.6 filed on Feb. 12, 2018, the disclosure of which are incorporated herein by reference in their entirety.

The present disclosure claims priority to Chinese patent application No. 201810147596.6 filed at the CNIPA on February 12, 18, disclosure of which is incorporated herein by reference in its entirety.

TECHNICAL FIELD

The present disclosure relates to the field of communications, for example, to a data communication processing method and device.

BACKGROUND

In a mobile communication system, due to the time-varying characteristic of a wireless fading channel, a lot of uncertainties exist in the communication process. On one hand, to improve a system throughput, high-order modulation with a higher transmission rate and error correction codes having a less redundancy are used for communication. In this way, the system throughput has been greatly improved when the signal-to-noise ratio of the wireless fading channel is ideal, but when the channel is in deep fading, it cannot ensure that the communication is reliable and stable. On the other hand, in order to ensure the reliability of the communication, low-order modulation with a lower transmission rate and error correction codes having a large redundancy are used for communication. That is, when the wireless channel is in deep fading, a reliable communication is performed. However, when the channel has a high signal-to-noise ratio, due to a relative low transmission rate, the improvement to the system throughput is restricted.

In a long term evolution (LTE) system, in order to achieve the adaptive modulation coding technology, uplink transmission control information mainly includes control signaling such as channel state information (CSI). The CSI includes a channel quality indication (CQI), a pre-coding matrix indication (PMI) and a rank indicator (RI). The CSI reflects a downlink physical channel state. The base station uses the CSI for downlink scheduling and data encoding and modulation. The CSI feedback may be fedback periodically or non-periodically.

CQI is an indicator for measuring quality of a downlink channel. In a 3GPP TS 36.213 protocol, the CQI is represented by an integer value from 0 to 15, which represent different CQI levels respectively. The CQI levels selected by a user equipment (UE) should ensure that a block error ratio (BLER, which is also called block error probability) of a transport block (TB) of a physical downlink shared channel (PDSCH) or a physical uplink shared channel (PUSCH) corresponding to the CQI under a corresponding modulation and coding scheme (MCS) does not exceed 0.1.

The CQI table generally includes quadrature amplitude modulation (QAM), and quadrature phase shift keying (QPSK) is a digital modulation method, where a modulation order corresponding to the modulation method of QPSK is 2, a modulation order corresponding to 16QAM is 4, a modulation order corresponding to 64QAM is 6, and a modulation order corresponding to 256QAM is 8.

In the LTE, except differential CQI, the CQI is represented by 4 bits. The CQI bits are reported by being included in uplink control information (UCI). The base station performs scheduling in conjunction with the CQI reported by the terminal, and determines a downlink MCS index and resource allocation information. LTE protocol in Rel-8 defines a modulation and TBS table (which also refers to MCS table hereinafter). The MCS table has 32 levels, basically each level corresponds to an MCS index, and each MCS index essentially corresponds to a type of MCS (a set of modulation orders and encoding rates or a type of spectral efficiency). Resource allocation information provides the number of physical resource blocks (NPRB) needed to be occupied by downlink transmission.

After receiving data of the downlink transmission, the terminal needs to acquire the MCS index and transport block size (TBS) for data demodulation and decoding of the downlink transmission. The base station sends downlink control information in a specific downlink control information (DCI) format in a physical downlink control channel (PDCCH), including a 5-bit MCS index and a resource allocation position. After the terminal obtains the TBS according to a TBS table after acquiring the downlink control information, and the TBS is used for demodulation and decoding.

In an ultra reliable and low latency communication (URLLC) communication scenario, the communication is required to be high reliability and low latency communication, then data communication must perform the ultra high reliability in a very short period of time, and signaling needs to be compressed, etc., so that the signaling is more concise and efficient. However, the MCS table of the current LTE or new radio (NR) may not meet the system requirement of the URLLC communication.

And in the communication process, it is necessary to determine TBS information at both the transmitting end and the receiving end. In the current NR communication protocol, a TBS calculated at a higher MCS level leads to the actual effective code rate being greater than 0.95, so that a receiving end cannot correctly decode transport block information and retransmission processing needs to be performed for decoding, a lot of system latency is brought, the communication stability are seriously affected.

In the related art, the communication system cannot effectively support the problem of low-latency and high-reliability communication, and no effective solution has been proposed yet.

SUMMARY

The present disclosure provides a data communication processing method and device to at least solve the problem that the communication system in the related art cannot effectively support low-latency and high-reliability communication.

The present disclosure provides a data communication processing method, which is applied to a communication device. The method includes: acquiring a modulation order and a target code rate; calculating an intermediate number N_(info) of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info); determining a transport block size (TBS) according to the quantized intermediate number N′_(info).

The present disclosure provides a data communication processing method, which is applied to a wireless communication node. The method includes: determining a modulation order and a target code rate; calculating an intermediate number N_(info) of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info); and determining a transport block size (TBS) according to the quantized intermediate number N′_(info).

The present disclosure provides a data communication processing device, which is applied to a base station. The device includes: a first acquisition module, which is configured to acquire a modulation order and a target code rate; a calculation module, which is configure to calculate an intermediate number N_(info) of information bits at least according to a total number of resource elements, the modulation order and the target code rate; a second acquisition module, which is configured to quantize the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info); and a determination module, which is configured to determine a transport block size (TBS) according to the quantized intermediate number N′_(info).

The present disclosure provides a data communication processing device, which is applied to a base station. The device includes: a second determination module, which is configured to determine a modulation order and a target code rate; a second calculation module, which is configure to calculate an intermediate number N_(info) of information bits at least according to a total number of resource elements, the modulation order and the target code rate; a third acquisition module, which is configured to quantize the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info); and a third determination module, which is configured to determine a transport block size (TBS) according to the quantized intermediate number N′_(info).

The present disclosure further provides a storage medium. The storage medium is configured to store computer programs which, when run, execute the steps of any one of the method embodiments described above.

The present disclosure further provides an electronic device, including a memory and a processor, where the memory is configured to store computer programs and the processor is configured to execute the computer programs for executing the steps in any one of the method embodiments described above.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 is a flowchart of a data communication processing method according to an embodiment of the present disclosure;

FIG. 2 is a flowchart of another data communication processing method according to an embodiment of the present disclosure;

FIG. 3A is a schematic diagram of a code rate provided by an embodiment;

FIG. 3B is a schematic diagram of another code rate provided by an embodiment;

FIG. 3C is a schematic diagram of another code rate provided by an embodiment;

FIG. 4A is a performance diagram of a data communication processing method provided by an embodiment;

FIG. 4B is a performance diagram of another data communication processing method provided by an embodiment;

FIG. 5 is a block diagram of a data communication processing device provided by an embodiment; and

FIG. 6 is a block diagram of another data communication processing device provided by an embodiment.

DETAILED DESCRIPTION

The present disclosure will be described hereinafter in detail with reference to the drawings and in conjunction with embodiments.

The terms “first”, “second” and the like in the description, claims and above drawings of the present disclosure are used to distinguish between similar objects and are not necessarily used to describe a particular order or sequence.

Embodiment One

FIG. 1 is a flowchart of a data communication processing method according to an embodiment. The method is applied to a communication device or a user equipment (UE). As shown in FIG. 1, the method includes steps S102, S104, S106 and S108 described below.

In step S102, a modulation order and a target code rate are acquired.

In step S104, an intermediate number N_(info) of information bits is calculated at least according to a total number of resource elements, the modulation order and the target code rate.

In step S106, the intermediate number N_(info) of the information bits is quantized to obtain the quantized intermediate number N′_(info).

In step S108, a transport block size (TBS) is determined according to the quantized intermediate number N′_(info).

In an embodiment, the step in which TBS is determined according to the quantized intermediate number N′_(info) includes: selecting one TBS from a one-dimensional TBS table according to the quantized intermediate number N′_(info).

Through the above steps S102 to S108, the modulation order and the target code rate are acquired, the intermediate number N_(info) of the information bits is calculated at least according to the total number of resource elements, the modulation order and the target code rate; the intermediate number N_(info) of the information bits is quantized to obtain the quantized intermediate number N′_(info); and the transport block size (TBS) is determined according to the quantized intermediate number N′_(info). The problem that the communication system in the related art cannot effectively support low-latency and high-reliability communication is solved, and the technical effect of low-latency and high-reliability communication between the base station and the terminal is achieved.

In an embodiment, the step in which the modulation order and the target code rate are acquired includes steps descried below.

In step S110, control information is received from a wireless communication node, where the control information at least includes: modulation and coding scheme (MCS) field information.

In step S120, the modulation order and the target code rate are determined from an MCS table according to the MCS field information.

Through the above steps S110 to S120, the problem that the TBS calculated at a higher MCS level in the related art leads to the actual effective code rate be greater than 0.95 is solved.

FIG. 2 is a flowchart of another data communication processing method according to an embodiment. The method is applied to a wireless communication node (such as a base station). As shown in FIG. 2 , the method includes steps S202, S204, S206 and S208 described below.

In step S202, a modulation order and a target code rate are acquired.

In step S204, an intermediate number N_(info) of information bits is calculated at least according to a total number of resource elements, the modulation order and the target code rate.

In step S206, the intermediate number N_(info) of the information bits is quantized to obtain the quantized intermediate number N′_(info).

In step S208, a transport block size (TBS) is determined according to the quantized intermediate number N′_(info).

In an embodiment, the step in which TBS is determined according to the quantized intermediate number N′_(info) includes: selecting one TBS from a one-dimensional TBS table according to the quantized intermediate number N′_(info).

Through the above steps S202 to S208, the modulation order and the target code rate are determined, the intermediate number N_(info) of the information bits is calculated at least according to the total number of resource elements, the modulation order and the target code rate; the intermediate number N_(info) of the information bits is quantized to obtain the quantized intermediate number N′_(info); and the transport block size (TBS) is determined according to the quantized intermediate number N′_(info). The problem that the communication system in the related art cannot effectively support low-latency and high-reliability communication is solved, and the technical effect of low-latency and high-reliability communication between the base station and the terminal is achieved.

In an embodiment, the step in which the modulation order and the target code rate are determined includes steps described below.

In step S210, control information of a communication device related to a wireless communication node is generated, where the control information at least includes: modulation and coding scheme (MCS) field information.

In step S220, the modulation order and the target code rate are determined from an MCS table according to the MCS field information.

Through the above steps S210 to S220, the problem that the TBS calculated at a higher MCS level in the related art leads to the actual effective code rate be greater than 0.95 is solved.

In an embodiment, the method further includes steps described below.

In step S310, the wireless communication node demodulates and decodes data from the communication device (or the UE) according to the TBS to obtain received data with a size of TBS; or performs low density parity check code (LDPC) encoding on information bits data of a length of TBS to obtain the encoded data, and sends the encoded data and the control information to the communication device (or the UE); or sends the control information to the communication device (or the UE).

In an embodiment, the step in which the intermediate number N_(info) of the information bits is quantized to obtain the quantized intermediate number N′_(info) includes: quantizing the intermediate number N_(info) according to the following formula:

${N_{info}^{\prime} = {\max\left( {{24},{2^{n}*\left\lfloor \frac{N_{info} - {Offset}}{2^{n}} \right\rfloor}} \right)}},$ where the Offset is determined according to the intermediate number N_(info), and n=max(3, └log₂(N_(info))┘−6).

In an embodiment, the step in which the intermediate number N_(info) of the information bits is quantized to obtain the quantized intermediate number N′_(info) includes: quantizing the intermediate number N_(info) according to the following formula

${N_{info}^{\prime} = {{\max\left( {{24},{2^{n}*\left\lfloor \frac{N_{info}}{2^{n}} \right\rfloor}} \right)} - {O{ffset}}}},$ where the Offset is determined according to the intermediate number N_(info), and n=max(3, └log₂(N_(info))┘−6).

In an embodiment, the Offset is equal to a positive integer times an nth power of 2, n=max(3, └log₂(N_(info))┘−6), the positive integer is equal to 1, 2, 3, 4, 5 or 6.

In an embodiment, the step in which the intermediate number N_(info) of the information bits is quantized to obtain the quantized intermediate number N′_(info) includes: quantizing the intermediate number N_(info) according to the following formula

${N_{info}^{\prime} = {{\max\left( {{24},{2^{n}*\left\lfloor {\frac{N_{info}}{2^{n}} - \alpha} \right\rfloor}} \right)}\mspace{14mu}{or}}}\;$ ${{N_{info}^{\prime} = {\max\left( {{24},{2^{n}*\left( {\left\lfloor \frac{N_{info}}{2^{n}} \right\rfloor - \alpha} \right)}} \right)}},}\mspace{14mu}$ where n=max(3, └log₂(N_(info))┘−6), α is equal to 1, 2, 3, 4, 5 or 6.

In an embodiment, the intermediate number N_(info) of the information bits is less than or equal to a preset threshold, where the preset threshold is equal to 3824, 3816, 3840, or 3896.

In an embodiment, the above method further includes: determining the MCS table from multiple MCS tables according to higher layer signaling.

In an embodiment, the multiple MCS tables at least includes MCS table, where the one MCS table includes at least the following fields: an MCS index, a modulation order, and a target code rate; where a maximum target code rate among all MCSs having a modulation order of 1 in the one MCS table is equal to a sum of a code rate of mother code and Δa, where Δa is a real number ranges −0.08 from 0.08.

In an embodiment, the multiple MCS tables at least includes one MCS table, where the one MCS table includes at least the following fields: an MCS index, a modulation order, a target code rate and spectral efficiency; where a redundancy version corresponding to an MCS with the spectral efficiency less than Δs in the one MCS table is only RV0; and redundancy versions corresponding to an MCS with the spectral efficiency greater than Δs in the one MCS table are only RV0 and RV2; where Δs is a real number greater than 0.65 and less than 0.85.

In an embodiment, the multiple MCS tables at least includes one MCS table, where the one MCS table comprises at least the following fields: an MCS index, a modulation order, and a target code rate; where in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is less than a sum of a mother code and Δb is only RV0, where Δb is a positive real number less than or equal to 0.1.

In an embodiment, in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is greater than the sum of the mother code and Δb, and is less than a sum of twice of the code rate of the mother code and Δc includes: {RV0, RV2}, where Δb is a positive real number less than or equal to 0.1, and Δc is a positive real number less than or equal to 0.1.

In an embodiment, in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is greater than the sum of twice of the code rate of the mother code and Δc includes: {RV0, RV2, RV3}, {RV0, RV2, RV1} or {RV0, RV2, RV3, RV1}, where Δc is a positive real number less than or equal to 0.1.

In an embodiment, the code rate of mother code is equal to 0.2.

In an embodiment, the multiple MCS tables at least includes one MCS table, where in one MCS table, the number of MCS only supports RV0 is 3 or 4.

In an embodiment, the multiple MCS tables at least includes one MCS table, where in one MCS table, the number of MCS only supports RV0 and RV2 is 4 or 5.

In an embodiment, the multiple MCS tables at least includes one MCS table, where in one MCS table, a target code rate of MCS with an 0 index is 80/1024; and/or a target code rate of MCS with an 1 index is 156/1024.

In an embodiment, the multiple MCS tables at least include one MCS table, where the one MCS table includes at least the following fields: an MCS index, a modulation order, a target code rate and redundancy version number.

In an embodiment, the MCS table at least includes the following fields: the MCS index and the modulation order, the number of MCSs having a modulation order of 1 is 4, 5 and 6.

In an embodiment, the MCS table at least includes the following fields: the MCS index, the modulation order and the target code rate, the maximum target code rate of MCS having a modulation order of 1 is 198/1024 or 240/1024.

In an embodiment, the MCS table at least includes the following fields: the MCS index and the spectral efficiency, the maximum target code rate of MCS having a modulation order of 1 is 0.1934 or 0.2344.

This embodiment will be exemplarily described below in conjunction with exemplary embodiments.

In this embodiment, a data communication processing method is provided, which can be used in a new radio access technology (new RAT) communication system. The method provided in this exemplary embodiment can be applied to a Long Term Evolution (LTE) mobile communication system or a future fifth generation (5G) mobile communication system or other wireless or wired communication systems, and the data transmission direction is a direction where a base station sends data to a mobile user (downlink transmission of service data), or the data transmission direction is a direction where a mobile user sends data to a base station (uplink transmission of service data). The mobile user includes: a mobile device, an access terminal, a user terminal, a user station, a user unit, a mobile station, a remote station, a remote terminal, a user agent, a user equipment, a user device, or devices named after other terms. The base station includes: an access point (AP), which may be called a node B, a radio network controller (RNC), an evolved node B (eNB), a base station controller (BSC), a base station controller (BTS), a base station (BS), a transceiver function, a radio router, a radio transceiver, a basic service unit (BSS), an expansion service unit (ESS), a radio base station (RBS), or some other devices.

According to an aspect of this exemplary embodiment, an MCS modulation and coding processing method provided in this exemplary embodiment may be applied to a new wireless access technology communication system, and the new wireless access technology communication system includes an enhanced mobile broadband (eMBB) scenario, a URLLC scenario or a massive machine type communications (mMTC) scenario.

In an embodiment, the embodiment is a 5G new RAT application scenario, where in the above 5G communication, a data channel encoding uses quasi-cyclic LDPC encoding, and a lifting size set of the quasi-cyclic LDPC encoding is shown in Table 1, including 8 subsets and subset index numbers are 0 to 7. A base graph of a parity check matrix (PCM) in the quasi-cyclic LDPC encoding includes two types: a base graph 1 and a base graph 2. The base graph 1 of the basic graph matrix has 46 rows and 68 columns; and the base graph 2 of the basic graph matrix has 42 rows and 52 columns. Table 2 shows the basic graph matrix corresponding to the base graph 1 of the basic graph matrix and the corresponding 8 parity check matrices (PCMs), where i is used for indicating a row index and j is used for indicating a column index. Wherein i_(LS) is an index number, and also corresponds to an index number of a lifting size subset, and each {i, j} combination in Table 2 determines that an i-th row and a j-th column of the base graph 1 are “1” elements. What corresponds to Table 3 is the base graph 2 of the base graph matrix and the corresponding 8 PCMs. The code rate of the mother code of the above base graph 1 is (68−46)/(68−2)=⅓=0.3333, and the code rate of the mother code of the above base graph 2 is (52−42)/(52−2)=⅕=0.2.

In the LDPC encoding process, the basic graph matrix is determined according to information packet length information and quasi-cyclic LDPC encoding rate information. For example, if the information packet length information is less than 308, or the information packet length information is less than or equal to 3840 and the quasi-cyclic LDPC encoding code rate is less than or equal to ⅔, or the LDPC encoding code rate is less than or equal to ¼, then base graph 2 of the base graph matrix is selected; in addition to the above situation, the base graph 1 of the base graph matrix is selected. Then according to the information packet length information and system column number information kb of the basic graph matrix, a lifting size Z of the quasi-cyclic LDPC encoding is determined from the table 1, for example, one lifting size Z greater than or equal to K/kb is selected from the table 1; the corresponding index number of the lifting size subset may be acquired according to the lifting size Z, the PCM from Table 2 or Table 3 may be determined according to the index number of the lifting size subset. The basic matrix Hb corresponding to the lifting size Z may be obtained according to the formula, and the above is elements in the i-th row and j-th column of the shift value matrix; the quasi-cyclic LDPC encoding may be performed on an information group bit sequence according to the lifting size Z and the basic matrix Hb.

TABLE 1 8 subsets of the lifting size of the LDPC encoding Set index (i_(LS)) Set of lifting sizes (Z) 0 {2, 4, 8, 16, 32, 64, 128, 256} 1 {3, 6, 12, 24, 48, 96, 192, 384} 2 {5, 10, 20, 40, 80, 160, 320} 3 {7, 14, 28, 56, 112, 224} 4 {9, 18, 36, 72, 144, 288} 5 {11, 22, 44, 88, 176, 352} 6 {13, 26, 52, 104, 208} 7 {15, 30, 60, 120, 240}

TABLE 2 Base graph 1 (H_(BG)) of LDPC encoding and corresponding PCM (V_(i,j)) H_(BG) Row Column V_(i,j) index index Set index i_(LS) i j 0 1 2 3 4 5 6 7 0 0 250 307 73 223 211 294 0 135 1 69 19 15 16 198 118 0 227 2 226 50 103 94 188 167 0 126 3 159 369 49 91 186 330 0 134 5 100 181 240 74 219 207 0 84 6 10 216 39 10 4 165 0 83 9 59 317 15 0 29 243 0 53 10 229 288 162 205 144 250 0 225 11 110 109 215 216 116 1 0 205 12 191 17 164 21 216 339 0 128 13 9 357 133 215 115 201 0 75 15 195 215 298 14 233 53 0 135 16 23 106 110 70 144 347 0 217 18 190 242 113 141 95 304 0 220 19 35 180 16 198 216 167 0 90 20 239 330 189 104 73 47 0 105 21 31 346 32 81 261 188 0 137 22 1 1 1 1 1 1 0 1 23 0 0 0 0 0 0 0 0 1 0 2 76 303 141 179 77 22 96 2 239 76 294 45 162 225 11 236 3 117 73 27 151 223 96 124 136 4 124 288 261 46 256 338 0 221 5 71 144 161 119 160 268 10 128 7 222 331 133 157 76 112 0 92 8 104 331 4 133 202 302 0 172 9 173 178 80 87 117 50 2 56 11 220 295 129 206 109 167 16 11 12 102 342 300 93 15 253 60 189 14 109 217 76 79 72 334 0 95 15 132 99 266 9 152 242 6 85 16 142 354 72 118 158 257 30 153 17 155 114 83 194 147 133 0 87 19 255 331 260 31 156 9 168 163 21 28 112 301 187 119 302 31 216 22 0 0 0 0 0 0 105 0 23 0 0 0 0 0 0 0 0 24 0 0 0 0 0 0 0 0 2 0 106 205 68 207 258 226 132 189 1 111 250 7 203 167 35 37 4 2 185 328 80 31 220 213 21 225 4 63 332 280 176 133 302 180 151 5 117 256 38 180 243 111 4 236 6 93 161 227 186 202 265 149 117 7 229 267 202 95 218 128 48 179 8 177 160 200 153 63 237 38 92 9 95 63 71 177 0 294 122 24 10 39 129 106 70 3 127 195 68 13 142 200 295 77 74 110 155 6 14 225 88 283 214 229 286 28 101 15 225 53 301 77 0 125 85 33 17 245 131 184 198 216 131 47 96 18 205 240 246 117 269 163 179 125 19 251 205 230 223 200 210 42 67 20 117 13 276 90 234 7 66 230 24 0 0 0 0 0 0 0 0 25 0 0 0 0 0 0 0 0 3 0 121 276 220 201 187 97 4 128 1 89 87 208 18 145 94 6 23 3 84 0 30 165 166 49 33 162 4 20 275 197 5 108 279 113 220 6 150 199 61 45 82 139 49 43 7 131 153 175 142 132 166 21 186 8 243 56 79 16 197 91 6 96 10 136 132 281 34 41 106 151 1 11 86 305 303 155 162 246 83 216 12 246 231 253 213 57 345 154 22 13 219 341 164 147 36 269 87 24 14 211 212 53 69 115 185 5 167 16 240 304 44 96 242 249 92 200 17 76 300 28 74 165 215 173 32 18 244 271 77 99 0 143 120 235 20 144 39 319 30 113 121 2 172 21 12 357 68 158 108 121 142 219 22 1 1 1 1 1 1 0 1 25 0 0 0 0 0 0 0 0 4 0 157 332 233 170 246 42 24 64 1 102 181 205 10 235 256 204 211 26 0 0 0 0 0 0 0 0 5 0 205 195 83 164 261 219 185 2 1 236 14 292 59 181 130 100 171 3 194 115 50 86 72 251 24 47 12 231 166 318 80 283 322 65 143 16 28 241 201 182 254 295 207 210 21 123 51 267 130 79 258 161 180 22 115 157 279 153 144 283 72 180 27 0 0 0 0 0 0 0 0 6 0 183 278 289 158 80 294 6 199 6 22 257 21 119 144 73 27 22 10 28 1 293 113 169 330 163 23 11 67 351 13 21 90 99 50 100 13 244 92 232 63 59 172 48 92 17 11 253 302 51 177 150 24 207 18 157 18 138 136 151 284 38 52 20 211 225 235 116 108 305 91 13 28 0 0 0 0 0 0 0 0 7 0 220 9 12 17 169 3 145 77 1 44 62 88 76 189 103 88 146 4 159 316 207 104 154 224 112 209 7 31 333 50 100 184 297 153 32 8 167 290 25 150 104 215 159 166 14 104 114 76 158 164 39 76 18 29 0 0 0 0 0 0 0 0 8 0 112 307 295 33 54 348 172 181 1 4 179 133 95 0 75 2 105 3 7 165 130 4 252 22 131 141 12 211 18 231 217 41 312 141 223 16 102 39 296 204 98 224 96 177 19 164 224 110 39 46 17 99 145 21 109 368 269 58 15 59 101 199 22 241 67 245 44 230 314 35 153 24 90 170 154 201 54 244 116 38 30 0 0 0 0 0 0 0 0 9 0 103 366 189 9 162 156 6 169 1 182 232 244 37 159 88 10 12 10 109 321 36 213 93 293 145 206 11 21 133 286 105 134 111 53 221 13 142 57 151 89 45 92 201 17 17 14 303 267 185 132 152 4 212 18 61 63 135 109 76 23 164 92 20 216 82 209 218 209 337 173 205 31 0 0 0 0 0 0 0 0 10 1 98 101 14 82 178 175 126 116 2 149 339 80 165 1 253 77 151 4 167 274 211 174 28 27 156 70 7 160 111 75 19 267 231 16 230 8 49 383 161 194 234 49 12 115 14 58 354 311 103 201 267 70 84 32 0 0 0 0 0 0 0 0 11 0 77 48 16 52 55 25 184 45 1 41 102 147 11 23 322 194 115 12 83 8 290 2 274 200 123 134 16 182 47 289 35 181 351 16 1 21 78 188 177 32 273 166 104 152 22 252 334 43 84 39 338 109 165 23 22 115 280 201 26 192 124 107 33 0 0 0 0 0 0 0 0 12 0 160 77 229 142 225 123 6 186 1 42 186 235 175 162 217 20 215 10 21 174 169 136 244 142 203 124 11 32 232 48 3 151 110 153 180 13 234 50 105 28 238 176 104 98 18 7 74 52 182 243 76 207 80 34 0 0 0 0 0 0 0 0 13 0 177 313 39 81 231 311 52 220 3 248 177 302 56 0 251 147 185 7 151 266 303 72 216 265 1 154 20 185 115 160 217 47 94 16 178 23 62 370 37 78 36 81 46 150 35 0 0 0 0 0 0 0 0 14 0 206 142 78 14 0 22 1 124 12 55 248 299 175 186 322 202 144 15 206 137 54 211 253 277 118 182 16 127 89 61 191 16 156 130 95 17 16 347 179 51 0 66 1 72 21 229 12 258 43 79 78 2 76 36 0 0 0 0 0 0 0 0 15 0 40 241 229 90 170 176 173 39 15 1 96 2 290 120 0 348 6 138 10 65 210 60 131 183 15 81 220 13 63 318 130 209 108 81 182 173 18 75 55 184 209 68 176 53 142 25 179 269 51 81 64 113 46 49 37 0 0 0 0 0 0 0 0 16 1 64 13 69 154 270 190 88 78 3 49 338 140 164 13 293 198 152 11 49 57 45 43 99 332 160 84 20 51 289 115 189 54 331 122 5 22 154 57 300 101 0 114 182 205 38 0 0 0 0 0 0 0 0 17 0 7 260 257 56 153 110 91 183 14 164 303 147 110 137 228 184 112 16 59 81 128 200 0 247 30 106 17 1 358 51 63 0 116 3 219 21 144 375 228 4 162 190 155 129 39 0 0 0 0 0 0 0 0 18 1 42 130 260 199 161 47 1 183 12 233 163 294 110 151 286 41 215 13 8 280 291 200 0 246 167 180 18 155 132 141 143 241 181 68 143 19 147 4 295 186 144 73 148 14 40 0 0 0 0 0 0 0 0 19 0 60 145 64 8 0 87 12 179 1 73 213 181 6 0 110 6 108 7 72 344 101 103 118 147 166 159 8 127 242 270 198 144 258 184 138 10 224 197 41 8 0 204 191 196 41 0 0 0 0 0 0 0 0 20 0 151 187 301 105 265 89 6 77 3 186 206 162 210 81 65 12 187 9 217 264 40 121 90 155 15 203 11 47 341 130 214 144 244 5 167 22 160 59 10 183 228 30 30 130 42 0 0 0 0 0 0 0 0 21 1 249 205 79 192 64 162 6 197 5 121 102 175 131 46 264 86 122 16 109 328 132 220 266 346 96 215 20 131 213 283 50 9 143 42 65 21 171 97 103 106 18 109 199 216 43 0 0 0 0 0 0 0 0 22 0 64 30 177 53 72 280 44 25 12 142 11 20 0 189 157 58 47 13 188 233 55 3 72 236 130 126 17 158 22 316 148 257 113 131 178 44 0 0 0 0 0 0 0 0 23 1 156 24 249 88 180 18 45 185 2 147 89 50 203 0 6 18 127 10 170 61 133 168 0 181 132 117 18 152 27 105 122 165 304 100 199 45 0 0 0 0 0 0 0 0 24 0 112 298 289 49 236 38 9 32 3 86 158 280 157 199 170 125 178 4 236 235 110 64 0 249 191 2 11 116 339 187 193 266 288 28 156 22 222 234 281 124 0 194 6 58 46 0 0 0 0 0 0 0 0 25 1 23 72 172 1 205 279 4 27 6 136 17 295 166 0 255 74 141 7 116 383 96 65 0 111 16 11 14 182 312 46 81 183 54 28 181 47 0 0 0 0 0 0 0 0 26 0 195 71 270 107 0 325 21 163 2 243 81 110 176 0 326 142 131 4 215 76 318 212 0 226 192 169 15 61 136 67 127 277 99 197 98 48 0 0 0 0 0 0 0 0 27 1 25 194 210 208 45 91 98 165 6 104 194 29 141 36 326 140 232 8 194 101 304 174 72 268 22 9 49 0 0 0 0 0 0 0 0 28 0 128 222 11 146 275 102 4 32 4 165 19 293 153 0 1 1 43 19 181 244 50 217 155 40 40 200 21 63 274 234 114 62 167 93 205 50 0 0 0 0 0 0 0 0 29 1 86 252 27 150 0 273 92 232 14 236 5 308 11 180 104 136 32 18 84 147 117 53 0 243 106 118 25 6 78 29 68 42 107 6 103 51 0 0 0 0 0 0 0 0 30 0 216 159 91 34 0 171 2 170 10 73 229 23 130 90 16 88 199 13 120 260 105 210 252 95 112 26 24 9 90 135 123 173 212 20 105 52 0 0 0 0 0 0 0 0 31 1 95 100 222 175 144 101 4 73 7 177 215 308 49 144 297 49 149 22 172 258 66 177 166 279 125 175 25 61 256 162 128 19 222 194 108 53 0 0 0 0 0 0 0 0 32 0 221 102 210 192 0 351 6 103 12 112 201 22 209 211 265 126 110 14 199 175 271 58 36 338 63 151 24 121 287 217 30 162 83 20 211 54 0 0 0 0 0 0 0 0 33 1 2 323 170 114 0 56 10 199 2 187 8 20 49 0 304 30 132 11 41 361 140 161 76 141 6 172 21 211 105 33 137 18 101 92 65 55 0 0 0 0 0 0 0 0 34 0 127 230 187 82 197 60 4 161 7 167 148 296 186 0 320 153 237 15 164 202 5 68 108 112 197 142 17 159 312 44 150 0 54 155 180 56 0 0 0 0 0 0 0 0 35 1 161 320 207 192 199 100 4 231 6 197 335 158 173 278 210 45 174 12 207 2 55 26 0 195 168 145 22 103 266 285 187 205 268 185 100 57 0 0 0 0 0 0 0 0 36 0 37 210 259 222 216 135 6 11 14 105 313 179 157 16 15 200 207 15 51 297 178 0 0 35 177 42 18 120 21 160 6 0 188 43 100 58 0 0 0 0 0 0 0 0 37 1 198 269 298 81 72 319 82 59 13 220 82 15 195 144 236 2 204 23 122 115 115 138 0 85 135 161 59 0 0 0 0 0 0 0 0 38 0 167 185 151 123 190 164 91 121 9 151 177 179 90 0 196 64 90 10 157 289 64 73 0 209 198 26 12 163 214 181 10 0 246 100 140 60 0 0 0 0 0 0 0 0 39 1 173 258 102 12 153 236 4 115 3 139 93 77 77 0 264 28 188 7 149 346 192 49 165 37 109 168 19 0 297 208 114 117 272 188 52 61 0 0 0 0 0 0 0 0 40 0 157 175 32 67 216 304 10 4 8 137 37 80 45 144 237 84 103 17 149 312 197 96 2 135 12 30 62 0 0 0 0 0 0 0 0 41 1 167 52 154 23 0 123 2 53 3 173 314 47 215 0 77 75 189 9 139 139 124 60 0 25 142 215 18 151 288 207 167 183 272 128 24 63 0 0 0 0 0 0 0 0 42 0 149 113 226 114 27 288 163 222 4 157 14 65 91 0 83 10 170 24 137 218 126 78 35 17 162 71 64 0 0 0 0 0 0 0 0 43 1 151 113 228 206 52 210 1 22 16 163 132 69 22 243 3 163 127 18 173 114 176 134 0 53 99 49 25 139 168 102 161 270 167 98 125 65 0 0 0 0 0 0 0 0 44 0 139 80 234 84 18 79 4 191 7 157 78 227 4 0 244 6 211 9 163 163 259 9 0 293 142 187 22 173 274 260 12 57 272 3 148 66 0 0 0 0 0 0 0 0 45 1 149 135 101 184 168 82 181 177 6 151 149 228 121 0 67 45 114 10 167 15 126 29 144 235 153 93 67 0 0 0 0 0 0 0 0

TABLE 3 Base graph 2 (H_(BG)) of LDPC encoding and corresponding PCM (V_(i,j)) H_(BG) Row Column V_(i,j) index index Set index i_(LS) i j 0 1 2 3 4 5 6 7 0 0 9 174 0 72 3 156 143 145 1 117 97 0 110 26 143 19 131 2 204 166 0 23 53 14 176 71 3 26 66 0 181 35 3 165 21 6 189 71 0 95 115 40 196 23 9 205 172 0 8 127 123 13 112 10 0 0 0 1 0 0 0 1 11 0 0 0 0 0 0 0 0 1 0 167 27 137 53 19 17 18 142 3 166 36 124 156 94 65 27 174 4 253 48 0 115 104 63 3 183 5 125 92 0 156 66 1 102 27 6 226 31 88 115 84 55 185 96 7 156 187 0 200 98 37 17 23 8 224 185 0 29 69 171 14 9 9 252 3 55 31 50 133 180 167 11 0 0 0 0 0 0 0 0 12 0 0 0 0 0 0 0 0 2 0 81 25 20 152 95 98 126 74 1 114 114 94 131 106 168 163 31 3 44 117 99 46 92 107 47 3 4 52 110 9 191 110 82 183 53 8 240 114 108 91 111 142 132 155 10 1 1 1 0 1 1 1 0 12 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 0 3 1 8 136 38 185 120 53 36 239 2 58 175 15 6 121 174 48 171 4 158 113 102 36 22 174 18 95 5 104 72 146 124 4 127 111 110 6 209 123 12 124 73 17 203 159 7 54 118 57 110 49 89 3 199 8 18 28 53 156 128 17 191 43 9 128 186 46 133 79 105 160 75 10 0 0 0 1 0 0 0 1 13 0 0 0 0 0 0 0 0 4 0 179 72 0 200 42 86 43 29 1 214 74 136 16 24 67 27 140 11 71 29 157 101 51 83 117 180 14 0 0 0 0 0 0 0 0 5 0 231 10 0 185 40 79 136 121 1 41 44 131 138 140 84 49 41 5 194 121 142 170 84 35 36 169 7 159 80 141 219 137 103 132 88 11 103 48 64 193 71 60 62 207 15 0 0 0 0 0 0 0 0 6 0 155 129 0 123 109 47 7 137 5 228 92 124 55 87 154 34 72 7 45 100 99 31 107 10 198 172 9 28 49 45 222 133 155 168 124 11 158 184 148 209 139 29 12 56 16 0 0 0 0 0 0 0 0 7 1 129 80 0 103 97 48 163 86 5 147 186 45 13 135 125 78 186 7 140 16 148 105 35 24 143 87 11 3 102 96 150 108 47 107 172 13 116 143 78 181 65 55 58 154 17 0 0 0 0 0 0 0 0 8 0 142 118 0 147 70 53 101 176 1 94 70 65 43 69 31 177 169 12 230 152 87 152 88 161 22 225 18 0 0 0 0 0 0 0 0 9 1 203 28 0 2 97 104 186 167 8 205 132 97 30 40 142 27 238 10 61 185 51 184 24 99 205 48 11 247 178 85 83 49 64 81 68 19 0 0 0 0 0 0 0 0 10 0 11 59 0 174 46 111 125 38 1 185 104 17 150 41 25 60 217 6 0 22 156 8 101 174 177 208 7 117 52 20 56 96 23 51 232 20 0 0 0 0 0 0 0 0 11 0 11 32 0 99 28 91 39 178 7 236 92 7 138 30 175 29 214 9 210 174 4 110 116 24 35 168 13 56 154 2 99 64 141 8 51 21 0 0 0 0 0 0 0 0 12 1 63 39 0 46 33 122 18 124 3 111 93 113 217 122 11 155 122 11 14 11 48 109 131 4 49 72 22 0 0 0 0 0 0 0 0 13 0 83 49 0 37 76 29 32 48 1 2 125 112 113 37 91 53 57 8 38 35 102 143 62 27 95 167 13 222 166 26 140 47 127 186 219 23 0 0 0 0 0 0 0 0 14 1 115 19 0 36 143 11 91 82 6 145 118 138 95 51 145 20 232 11 3 21 57 40 130 8 52 204 13 232 163 27 116 97 166 109 162 24 0 0 0 0 0 0 0 0 15 0 51 68 0 116 139 137 174 38 10 175 63 73 200 96 103 108 217 11 213 81 99 110 128 40 102 157 25 0 0 0 0 0 0 0 0 16 1 203 87 9 75 48 78 125 170 9 142 177 79 158 9 158 31 23 11 8 135 111 134 28 17 54 175 12 242 64 143 97 8 165 176 202 16 26 0 0 0 0 0 0 0 0 17 1 254 158 0 48 120 134 57 196 5 124 23 24 132 43 23 201 173 11 114 9 109 206 65 62 142 195 12 64 6 18 2 42 163 35 218 27 0 0 0 0 0 0 0 0 18 0 220 186 0 68 17 173 129 128 6 194 6 18 16 106 31 203 211 7 50 46 86 156 142 22 140 210 28 0 0 0 0 0 0 0 0 19 0 87 58 0 35 79 13 110 39 1 20 42 158 138 28 135 124 84 10 185 156 154 86 41 145 52 88 29 0 0 0 0 0 0 0 0 20 1 26 76 0 6 2 128 196 117 4 105 61 148 20 103 52 35 227 11 29 153 104 141 78 173 114 6 30 0 0 0 0 0 0 0 0 21 0 76 157 0 80 91 156 10 238 8 42 175 17 43 75 166 122 13 13 210 67 33 81 81 40 23 11 31 0 0 0 0 0 0 0 0 22 1 222 20 0 49 54 18 202 195 2 63 52 4 1 132 163 126 44 32 0 0 0 0 0 0 0 0 23 0 23 106 0 156 68 110 52 5 3 235 86 75 54 115 132 170 94 5 238 95 158 134 56 150 13 111 33 0 0 0 0 0 0 0 0 24 1 46 182 0 153 30 113 113 81 2 139 153 69 88 42 108 161 19 9 8 64 87 63 101 61 88 130 34 0 0 0 0 0 0 0 0 25 0 228 45 0 211 128 72 197 66 5 156 21 65 94 63 136 194 95 35 0 0 0 0 0 0 0 0 26 2 29 67 0 90 142 36 164 146 7 143 137 100 6 28 38 172 66 12 160 55 13 221 100 53 49 190 13 122 85 7 6 133 145 161 86 36 0 0 0 0 0 0 0 0 27 0 8 103 0 27 13 42 168 64 6 151 50 32 118 10 104 193 181 37 0 0 0 0 0 0 0 0 28 1 98 70 0 216 106 64 14 7 2 101 111 126 212 77 24 186 144 5 135 168 110 193 43 149 46 16 38 0 0 0 0 0 0 0 0 29 0 18 110 0 108 133 139 50 25 4 28 17 154 61 25 161 27 57 39 0 0 0 0 0 0 0 0 30 2 71 120 0 106 87 84 70 37 5 240 154 35 44 56 173 17 139 7 9 52 51 185 104 93 50 221 9 84 56 134 176 70 29 6 17 40 0 0 0 0 0 0 0 0 31 1 106 3 0 147 80 117 115 201 13 1 170 20 182 139 148 189 46 41 0 0 0 0 0 0 0 0 32 0 242 84 0 108 32 116 110 179 5 44 8 20 21 89 73 0 14 12 166 17 122 110 71 142 163 116 42 0 0 0 0 0 0 0 0 33 2 132 165 0 71 135 105 163 46 7 164 179 88 12 6 137 173 2 10 235 124 13 109 2 29 179 106 43 0 0 0 0 0 0 0 0 34 0 147 173 0 29 37 11 197 184 12 85 177 19 201 25 41 191 135 13 36 12 78 69 114 162 193 141 44 0 0 0 0 0 0 0 0 35 1 57 77 0 91 60 126 157 85 5 40 184 157 165 137 152 167 225 11 63 18 6 55 93 172 181 175 45 0 0 0 0 0 0 0 0 36 0 140 25 0 1 121 73 197 178 2 38 151 63 175 129 154 167 112 7 154 170 82 83 26 129 179 106 46 0 0 0 0 0 0 0 0 37 10 219 37 0 40 97 167 181 154 13 151 31 144 12 56 38 193 114 47 0 0 0 0 0 0 0 0 38 1 31 84 0 37 1 112 157 42 5 66 151 93 97 70 7 173 41 11 38 190 19 46 1 19 191 105 48 0 0 0 0 0 0 0 0 39 0 239 93 0 106 119 109 181 167 7 172 132 24 181 32 6 157 45 12 34 57 138 154 142 105 173 189 49 0 0 0 0 0 0 0 0 40 2 0 103 0 98 6 160 193 78 10 75 107 36 35 73 156 163 67 13 120 163 143 36 102 82 179 180 50 0 0 0 0 0 0 0 0 41 1 129 147 0 120 48 132 191 53 5 229 7 2 101 47 6 197 215 11 118 60 55 81 19 8 167 230 51 0 0 0 0 0 0 0 0

The following describes this embodiment in combination with exemplary embodiments.

Exemplary Embodiment One

A data communication processing method, applied to a communication device or a UE, includes: receiving control information from a wireless communication node, the wireless communication node includes a base station (BS), and the control information is downlink control information (DCI).

The control information at least includes: modulation and coding scheme (MCS) field information. The MCS field information is applied to: determine the modulation order and the target code rate from an MCS table according to the MCS field information, calculate an intermediate number N_(info) of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantize the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info); select one TBS from a one-dimensional TBS table according to the quantized intermediate number N′_(info).

The UE demodulates and decodes data from the base station according to the TBS to obtain received data with a size of TBS; or performs low density parity check code (LDPC) encoding on information bits data of a length of TBS to obtain the encoded data, and sends the encoded data to the base station.

In an embodiment, the UE determines the TBS through steps described below.

In step 10: the UE first determines a total number of resource elements (REs) (NRE) in a slot.

The number of resource elements N_(RE)′ allocated in a physical resource block (PRB) is determined by the following calculation formula: N_(RE)′=N_(sc) ^(RB)·N_(symb) ^(sh)−N_(DMRS) ^(PRB)−N_(oh) ^(PRB), where N_(sc) ^(RB)=12 indicates the number of subcarriers included in a PRB in a frequency domain, N_(symb) ^(sh) indicates the number of orthogonal frequency division multiplexing (OFDM) symbols that can be scheduled in a slot, N_(DMRS) ^(PRB) indicates the number of REs occupied by demodulation reference signals (DM-RS) in each PRB within a schedulable duration (including overhead of DMRS code division multiplexing (CDM) groups indicated by a DCI format 1_0/1_1); and N_(oh) ^(PRB) indicates overhead of high layer configuration parameter Xoh-PDSCH. If Xoh-PDSCH is not configured (a value of Xoh-PDSCH is one of {0, 6, 12, 18}), the Xoh-PDSCH is configured to be 0.

According to the calculated number of available REs N_(RE)′ in each PRB, the total number of resource elements (NRE) is calculated according to N_(RE)=min(156, N_(RE)′)·n_(PRB), where n_(PRB) is the total number of allocated resource blocks, which is determined by frequency field resource field signaling in downlink control signaling.

In step 20: an intermediate number N_(info) of information bits is calculated at least according to a total number of resource elements, the modulation order and the target code rate, where the calculation formula is as follows: N_(info)=N_(RE)·R·Q_(m)·v.

N_(RE) in the above formula is the total number of the resource elements, R is the target code rate, Q_(m) is the modulation order, v is the layer number. The modulation order and the target code rate are determined from the MCS table based on the MCS field information received by the UE.

If the calculated intermediate number N_(info) of the information bits is less than or equal to 3824 (a preset threshold is equal to 3824), then the TBS is determined according to step 3; if the intermediate number N_(info) is greater than 3824, the TBS is determined according to step 4.

In step 30: when the intermediate number N_(info)≤3824 (the preset threshold is equal to 3824), the TBS is determined according to the following processing method:

quantizing and calculating the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info). in this embodiment, the quantizing and calculating the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info) includes one of the following methods to obtain the quantized intermediate number N′_(info).

Method one:

${N_{info}^{\prime} = {\max\left( {{24},{2^{n}*\left\lfloor \frac{N_{info} - {Offset}}{2^{n}} \right\rfloor}} \right)}},$ the Offset is determined by the intermediate number, in an embodiment, the Offset is equal to a positive integer times an nth power of 2, n=max(3, └log₂(N_(info))┘−6), the positive integer is equal to 1, 2, 3, 4, 5 or 6. In an embodiment, the positive integer is equal to 3.

Method two:

${N_{info}^{\prime} = {{\max\left( {{24},{2^{n}*\left\lfloor \frac{N_{info}}{2^{n}} \right\rfloor}} \right)} - {Offset}}},$ the Offset is determined by the intermediate number, in an embodiment, the Offset is equal to a positive integer times an nth power of 2, n=max(3, └log₂(N_(info))┘−6), the positive integer is equal to 1, 2, 3, 4, 5 or 6. In an embodiment, the positive integer is equal to 3.

Method three:

${N_{info}^{\prime} = {\max\left( {{24},{2^{n}*\left\lfloor {\frac{N_{info}}{2^{n}} - \alpha} \right\rfloor}} \right)}},$ where n=max(3, └log₂(N_(info))┘−6), α is equal to 1, 2, 3, 4, 5 or 6. In an embodiment, α is equal to 3;

Method four:

${N_{info}^{\prime} = {\max\left( {{24},{2^{n}*\left( {\left\lfloor \frac{N_{info}}{2^{n}} \right\rfloor - \alpha} \right)}} \right)}},$ where n=max(3, └log₂(N_(info))┘−6), a is equal to 1, 2, 3, 4, 5 or 6. In an embodiment, a is equal to 3.

From the one-dimensional TBS table of Table 1-1, a TBS which is not less than and closest to a final TBS is found.

TABLE 1-1 TBS table (N_(info) ≤ 3824) Index TBS 1 24 2 32 3 40 4 48 5 56 6 64 7 72 8 80 9 88 10 96 11 104 12 112 13 120 14 128 15 136 16 144 17 152 18 160 19 168 20 176 21 184 22 192 23 208 24 224 25 240 26 256 27 272 28 288 29 304 30 320 31 336 32 352 33 368 34 384 35 408 36 432 37 456 38 480 39 504 40 528 41 552 42 576 43 608 44 640 45 672 46 704 47 736 48 768 49 808 50 848 51 888 52 928 53 984 54 1032 55 1064 56 1128 57 1160 58 1192 59 1224 60 1256 61 1288 62 1320 63 1352 64 1416 65 1480 66 1544 67 1608 68 1672 69 1736 70 1800 71 1864 72 1928 73 2024 74 2088 75 2152 76 2216 77 2280 78 2408 79 2472 80 2536 81 2600 82 2664 83 2728 84 2792 85 2856 86 2976 87 3104 88 3240 89 3368 90 3496 91 3624 92 3752 93 3824

In step 40: when the intermediate number N_(info)>3824 (the preset threshold is equal to 3824), the TBS is determined according to the following processing method:

quantizing the intermediate number:

${N_{info}^{\prime} = {\max\left( {3840,{2^{n} \times {round}\mspace{14mu}\left( \frac{N_{info} - 24}{2^{n}} \right)}} \right)}},$ where n=└log₂(N_(info)−24)┘−5, and round (⋅) refers to rounding;

   if R ≤ 1/4   ${{TBS} = {{8*C*\left\lceil \frac{N_{info}^{\prime} + 24}{8*C} \right\rceil} - 24}},{{{where}\mspace{14mu} C} = \left\lceil \frac{N_{info}^{\prime} + 24}{3816} \right\rceil}$ else  if N_(info)′ > 8424    ${{TBS} = {{8*C*\left\lceil \frac{N_{info}^{\prime} + 24}{8*C} \right\rceil} - 24}},{{{where}\mspace{14mu} C} = \left\lceil \frac{N_{info}^{\prime} + 24}{8424} \right\rceil}$  else    ${TBS} = {{8*\left\lceil \frac{N_{info}^{\prime} + 24}{8} \right\rceil} - 24}$  end end

In this embodiment, the preset thresholds in steps 20, 30, and 40 are equal to 3824, the preset thresholds are not limited to 3824, and the preset thresholds may be equal to any integer from 2048 to 6144. In an embodiment, the preset threshold may also be equal to 3816, 3840 or 3896.

The performance comparison charts are shown in FIGS. 3A to 3C, a vertical ordinate is an effective code rate, two coordinates in a horizontal plane are the total number of allocated resource blocks (PRB) and the number of resource elements allocated in a resource block (PRB). FIG. 3A is a code rate diagram corresponding to quantizing the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info) by using the method 1 in step 3, FIG. 3B is a code rate diagram corresponding to quantizing the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info) by using the method 2 in step 3, and FIG. 3C is a code rate diagram corresponding to a quantization method without subtracting Offset (i.e., the quantization formula does not subtract Offset or α) by using the method 1 in step 3. It can be seen that for the MCS table shown in Table 1-3 (the highest modulation order is 8, which corresponds to 256QAM), most code rates obtained by subtracting Offset from the code rates obtained by using the quantization method are less than 0.95, so when LDPC is decoded, the LDPC may be decoded correctly. In the code rate diagram in FIG. 3C, it can be found that some code rates obtained by the quantization method without subtracting the Offset in the quantization formula are greater than 0.95, so retransmission is needed in actual work to guarantee performance, but retransmission brings a large latency. The quantization method has a relatively large advantage.

The processing method in step 30 is not limited to the above method, but may also be the following processing method.

When the intermediate number N_(info)≤3824 (the preset threshold is equal to 3824), the TBS is determined according to the following processing method: quantizing and calculating the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info); where the quantizing and calculating the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info) includes one of the following methods to obtain the quantized intermediate number N′_(info):

${N_{info}^{\prime} = {\max\left( {{24},{2^{n}*\left\lfloor \frac{N_{info}}{2^{n}} \right\rfloor}} \right)}},$ where n=max (3, └log₂(N_(info))┘−6).

From the one-dimensional TBS table of Table 1-1, a TBS which is not less than and closest to a final TBS is found. The Offset is determined by the intermediate number N_(info). In one embodiment, the Offset is equal to a positive integer times an nth power of 2, n=max (3, └log₂(N_(info))┘−6), the positive integer is equal to 1, 2, 3, 4, 5 or 6. In one embodiment, the positive integer is equal to 3.

In an embodiment, determining the modulation order and the target code rate from an MCS table according to the MCS field information further includes: determining the MCS table from multiple MCS tables according to higher layer signaling. The higher layer signaling may be table field signaling (MCS-Table-PDSCH). When the MCS-Table-PDSCH does not indicate ‘256QAM’, the modulation order and the target code rate are determined in the MCS table example of the Table 1-2 according to the modulation and coding scheme field information. When the MCS-Table-PDSCH indicates ‘256QAM’, the modulation order and the target code are determined from the MCS table example of Table 1-3 according to the MCS field information. In this embodiment, values of target code rates in the above MCS table are all greater than 1 (the code rate in channel encoding is generally not greater than 1, which has been multiplied by 1024 in the example table), so the actual target code rate value also needs to be divided by 1024. That is, in the description of the MCS table, the above target code rates are values obtained by timing 1024. As shown in Table 1-2, the target code rate corresponding to the MCS index of 0 is 120/1024.

TABLE 1-2 MCS table example MCS Modulation Target Index Order code Rate × Spectral I_(MCS) Q_(m) [1024] R efficiency 0 2 120 0.2344 1 2 157 0.3066 2 2 193 0.3770 3 2 251 0.4902 4 2 308 0.6016 5 2 379 0.7402 6 2 449 0.8770 7 2 526 1.0273 8 2 602 1.1758 9 2 679 1.3262 10 4 340 1.3281 11 4 378 1.4766 12 4 434 1.6953 13 4 490 1.9141 14 4 553 2.1602 15 4 616 2.4063 16 4 658 2.5703 17 6 438 2.5664 18 6 466 2.7305 19 6 517 3.0293 20 6 567 3.3223 21 6 616 3.6094 22 6 666 3.9023 23 6 719 4.2129 24 6 772 4.5234 25 6 822 4.8164 26 6 873 5.1152 27 6 910 5.3320 28 6 948 5.5547 29 2 reserved 30 4 reserved 31 6 reserved

TABLE 1-3 MCS table example MCS Modulation Target Index Order code Rate × Spectral I_(MCS) Q_(m) [1024] R efficiency 0 2 120 0.2344 1 2 193 0.3770 2 2 308 0.6016 3 2 449 0.8770 4 2 602 1.1758 5 4 378 1.4766 6 4 434 1.6953 7 4 490 1.9141 8 4 553 2.1602 9 4 616 2.4063 10 4 658 2.5703 11 6 466 2.7305 12 6 517 3.0293 13 6 567 3.3223 14 6 616 3.6094 15 6 666 3.9023 16 6 719 4.2129 17 6 772 4.5234 18 6 822 4.8164 19 6 873 5.1152 20 8 682.5 5.3320 21 8 711 5.5547 22 8 754 5.8906 23 8 797 6.2266 24 8 841 6.5703 25 8 885 6.9141 26 8 916.5 7.1602 27 8 948 7.4063 28 2 reserved 29 4 reserved 30 6 reserved 31 8 reserved

Exemplary Embodiment Two

A data communication processing method, applied to a communication device or a UE, includes: receiving control information from a wireless communication node, the wireless communication node includes a base station (BS), and the control information is downlink control information (DCI). The control information at least includes: modulation and coding scheme (MCS) field information; the MCS field information is applied to determine the modulation order and the target code rate from an MCS table according to the MCS field information, calculating an intermediate number N_(info) of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info); selecting one TBS from a one-dimensional TBS table according to the quantized intermediate number N′_(info).

The UE demodulates and decodes data from the base station according to the TBS to obtain received data with a size of TBS; or performs low density parity check code (LDPC) encoding on information bits data of a length of TBS to obtain the encoded data, and sends the encoded data to the base station.

In an embodiment, determining the modulation order and the target code rate from an MCS table according to the MCS field information further includes: determining the MCS table from multiple MCS tables according to higher layer signaling. The higher layer signaling includes: but is not limited to, at least one of the following: MCS table field signaling (MCS-Table-PDSCH), target block error rate (BLER) field signaling (BLER-Target), CQI table field signaling (CQI-table).

In an embodiment, the multiple MCS tables at least includes one MCS table, where the one MCS table includes at least the following fields: an MCS index, a modulation order, and a target code rate; where a maximum target code rate among all MCSs having a modulation order of 1 in the one MCS table is equal to sum of a code rate of mother code and Δa, where Δa is a real number ranges −0.08 from 0.08. For example, see table 2-1, The code rate of the mother code is a code rate of mother code of abase graph 2 of the basic graph of the LDPC coding defined by an NR protocol, that is, the code rate of the mother code is equal to ⅕=0.2.

TABLE 2-1 MCS table example 1 MCS Modulation Target Index Order code Rate × Spectral I_(MCS) Q_(m) 1024 R efficiency 0 1 80 0.0781 1 1 156 0.1523 2 2 120 0.2344 3 2 193 0.3770 4 2 308 0.6016 5 2 449 0.8770 6 2 602 1.1758 7 4 378 1.4766 8 4 490 1.9141 9 4 616 2.4063 10 6 466 2.7305 11 6 567 3.3223 12 6 666 3.9023 13 2 reserved 14 4 reserved 15 6 reserved

In an embodiment, the multiple MCS tables at least includes one MCS table, where the one MCS table includes at least the following fields: an MCS index and a spectral efficiency; where a redundancy version corresponding to an MCS with the spectral efficiency less than Δs in the one MCS table is only RV0; and redundancy versions corresponding to an MCS with the spectral efficiency greater than Δs in the one MCS table are only RV0 and RV2; where Δs is a real number greater than 0.65 and less than 0.85, which is show in Table 2-2. The beneficial effect of using the MCS table designed above is that only 4-bit control signaling information may be used to include MCS level information and redundancy version information, which greatly saves resources occupied by control signaling and greatly improves communication system stability. In this embodiment, the above MCS table includes the following fields: the MCS index, the modulation order, the target code rate, the spectral efficiency, and a redundancy version (RV) index. It can be seen that an MCS index uniquely indicates a combination of the modulation order, the target code rate, the spectral efficiency, and the RV index. The corresponding modulation order, the target code rate and the RV index is able to be obtained by the MCS field information in the downlink control information (DCI).

TABLE 2-2 MCS table example 2 MCS Modulation Target Redundancy Index Order code Rate × Spectral Version I_(MCS) Q_(m) [1024] R efficiency rv_(idx) 0 2 40 0.0781 0 1 2 78 0.1523 0 2 2 120 0.2344 0 3 2 193 0.3770 0 4 2 308 0.6016 0 5 2 449 0.8770 0 6 2 7 4 378 1.4766 0 8 2 9 4 616 2.4063 0 10 2 11 6 567 3.3223 0 12 2 13 2 reserved 2 14 4 reserved 2 15 6 reserved 2

In an embodiment, multiple MCS tables includes at least one MCS table, where the one MCS table includes at least the following fields: the MCS index, the modulation order, the target code rate, and the spectral efficiency; where the MCS index in the one MCS table only indicates a redundancy version number (index) corresponding to the MCS of the modulation order (not indicating the corresponding target code rate and the spectral efficiency, or the corresponding target code rate and the spectral efficiency are reserved items). An MCS table example is as shown in Table 2-2, where the MCS indexes only indicating the modulation order are 13, 14 and 15, and the corresponding redundancy version number (index) indicated by the MCS with indexes 13, 14 and 15 is equal to 2.

In an embodiment, the multiple MCS tables at least includes one MCS table, where the one MCS table comprises at least the following fields: an MCS index and the target code rate; where in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is less than a sum of a mother code and Δb is only RV0, where Δb is a positive real number less than or equal to 0.1; and/or

in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is greater than the sum of the mother code and Δb, and is less than a sum of twice of the code rate of the mother code and Δc comprises: {RV0, RV2}, where Δb is a positive real number less than or equal to 0.1, and Δc is a positive real number less than or equal to 0.1; and/or

in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is greater than the sum of twice of the code rate of the mother code and Δc comprises: {RV0, RV2, RV3}, {RV0, RV2, RV1} or {RV0, RV2, RV3, RV1}, wherein Δc is a positive real number less than or equal to 0.1. For example, see table 2-1, The code rate of the mother code is a code rate of mother code of a base graph 2 of the basic graph of the LDPC coding defined by an NR protocol, that is, the code rate of the mother code is equal to ⅕=0.2.

In this embodiment, one MCS table example includes the following fields: the MCS index, the modulation order, the target code rate, the spectral efficiency, and the redundancy version (RV) number, which is shown in table 2-3.

TABLE 2-3 MCS table example 3 MCS Modulation Target Redundancy Index Order code Rate × Spectral Version I_(MCS) Q_(m) [1024] R efficiency rv_(idx) 0 2 78 0.1523 0 1 2 120 0.2344 0 2 2 193 0.3770 0 3 2 308 0.6016 0 4 2 5 2 449 0.8770 0 6 2 7 2 602 1.1758 0 8 2 9 3 10 1 11 4 378 1.4766 0 12 2 13 4 490 1.9141 0 14 2 15 4 616 2.4063 0 16 2 17 3 18 1 19 6 466 2.7305 0 20 2 21 6 567 3.3223 0 22 2 23 3 24 1 25 6 666 3.9023 0 26 2 27 3 28 1 29 2 reserved 2 30 4 reserved 2 31 6 reserved 2

It can be seen from Table 2-3, the redundancy version of the MCS corresponding to the target code rate of {78, 120, 193}/1024 is only RV0, such as the MCS index of {0, 1, 2} in the table; since the target code rate is relatively low, the target code rate is lower than or very close to the code rate of the mother code of the code rate of the mother code (the above code rate of mother code is the base graph 2), the above code rate of mother code is equal to ⅕=0.2. Moreover, the redundancy version of the MCS corresponding to the target code rate of {308, 449, 378, 490, 466}/1024 is only {RV0, RV2}. The redundancy version of the MCS corresponding to the target code rate of {602, 616, 567, 666, 466}/1024 may be {RV0, RV2}. It may be considered that the above Δb and Δc are equal to 0.05 and 0.06, respectively.

In an embodiment, the multiple MCS tables at least includes one MCS table, where in one MCS table, the number of MCS only supports RV0 is 3 or 4. In an embodiment, the multiple MCS tables at least includes one MCS table, where in one MCS table, the number of MCS only supports RV0 and RV2 is 4 or 5. This embodiment further provides one MCS table example, which includes the following fields: the MCS index, the modulation order, the target code rate, the spectral efficiency, and the redundancy version (RV) number, which is shown in table 2-4.

TABLE 2-4 MCS table example 4 MCS Modulation Target Redundancy Index Order code Rate × Spectral Version I_(MCS) Q_(m) [1024] R efficiency rv_(idx) 0 2 40 0.0781 0 1 2 78 0.1523 0 2 2 120 0.2344 0 3 2 193 0.3770 0 4 2 308 0.6016 0 5 2 6 2 449 0.8770 0 7 2 8 2 602 1.1758 0 9 2 10 3 11 1 12 4 378 1.4766 0 13 2 14 4 490 1.9141 0 15 2 16 4 616 2.4063 0 17 2 18 3 19 1 20 6 466 2.7305 0 21 2 22 6 567 3.3223 0 23 2 24 3 25 6 666 3.9023 0 26 2 27 3 28 1 29 2 reserved 2 30 4 reserved 2 31 6 reserved 2

In an embodiment, the multiple MCS tables at least includes one MCS table, where in one MCS table, a target code rate of MCS with an 0 index is 80/1024; and/or a target code rate of MCS with an 1 index is 156/1024. In an embodiment, the modulation order indicated by one MCS level 0 and MCS level 1 is equal to 1.

In an embodiment, determining the modulation order and the target code rate from the MCS table according to the modulation and coding scheme (MCS) field information also includes: when the target block error rate (BLER) indicated by higher layer signaling is not equal to 0.1, the modulation order, the target code rate and the redundancy version number are determined from the MCS table according to the MCS field information. This embodiment provides an MCS table, which corresponds to a maximum modulation order of 6, and is used for a signal waveform of cyclic prefix-orthogonal frequency division multiplexing (CP-OFDM), as shown in Table 2-5 or Table 2-6. An MCS table is provided for a signal waveform of transform pre-coding OFDM or discrete Fourier transform spread spectrum OFDM, which may be used for determining the modulation order and the target code rate of the PUSCH, as shown in Table 2-7 or table 2-8. MCS table examples shown in Table 2-5 and Table 2-6 correspond to a 5-bit indication, MCS table examples shown in Table 2-7 and Table 2-8 correspond to a 4-bit indication.

TABLE 2-5 MCS table example 5 MCS Modulation Index Order code rate × I_(MCS) Q_(m) 1024 efficiency 0 2 40 0.0781 1 2 59 0.1152 2 2 78 0.1523 3 2 99 0.1934 4 2 120 0.2344 5 2 157 0.3066 6 2 193 0.3770 7 2 251 0.4902 8 2 308 0.6016 9 2 379 0.7402 10 2 449 0.8770 11 2 526 1.0273 12 2 602 1.1758 13 2 679 1.3262 14 4 340 1.3281 15 4 378 1.4766 16 4 434 1.6953 17 4 490 1.9141 18 4 553 2.1602 19 4 616 2.4063 20 4 658 2.5703 21 6 438 2.5664 22 6 466 2.7305 23 6 517 3.0293 24 6 567 3.3223 25 6 616 3.6094 26 6 666 3.9023 27 reserved reserved reserved 28 reserved reserved reserved 29 2 reserved 30 4 31 6

TABLE 2-6 MCS table example 6 MCS Modulation Index Order code rate × I_(MCS) Q_(m) 1024 efficiency 0 1 80 0.0781 1 1 118 0.1152 2 1 156 0.1523 3 1 198 0.1934 4 2 120 0.2344 5 2 157 0.3066 6 2 193 0.3770 7 2 251 0.4902 8 2 308 0.6016 9 2 379 0.7402 10 2 449 0.8770 11 2 526 1.0273 12 2 602 1.1758 13 2 679 1.3262 14 4 340 1.3281 15 4 378 1.4766 16 4 434 1.6953 17 4 490 1.9141 18 4 553 2.1602 19 4 616 2.4063 20 4 658 2.5703 21 6 438 2.5664 22 6 466 2.7305 23 6 517 3.0293 24 6 567 3.3223 25 6 616 3.6094 26 6 666 3.9023 27 reserved reserved reserved 28 1 reserved 29 2 30 4 31 6

TABLE 2-7 MCS table example 7 MCS Modulation Index Order code rate × I_(MCS) Q_(m) 1024 efficiency 0 2 40 0.0781 1 2 78 0.1523 2 2 120 0.2344 3 2 193 0.3770 4 2 308 0.6016 5 2 449 0.8770 6 2 602 1.1758 7 4 378 1.4766 8 4 490 1.9141 9 4 616 2.4063 10 6 466 2.7305 11 6 567 3.3223 12 6 666 3.9023 13 2 reserved 14 4 15 6

TABLE 2-8 MCS table example 8 MCS Modulation Index Order code rate × I_(MCS) Q_(m) 1024 efficiency 0 1 80 0.0781 1 1 156 0.1523 2 2 120 0.2344 3 2 193 0.3770 4 2 308 0.6016 5 2 449 0.8770 6 2 602 1.1758 7 4 378 1.4766 8 4 490 1.9141 9 4 616 2.4063 10 6 466 2.7305 11 6 567 3.3223 12 6 666 3.9023 13 2 reserved 14 4 15 6

When target BLER field signaling BLER-Target indicates that the target BLER is not equal to 0.1, a first MCS table is selected from the multiple MCS tables as the MCS table, where the MCS table corresponds to the MCS table in which the target BLER is not equal to 0.1 (or is applied to an ultra reliable and low latency communication MCS table).

The modulation order and the target code rate is determined from an MCS table according to the MCS field information, an intermediate number N_(info) of information bits at least is calculated according to a total number of resource elements, the modulation order and the target code rate; the intermediate number N_(info) of the information bits is quantized to obtain the quantized intermediate number N′_(info); one TBS from a one-dimensional TBS table is selected according to the quantized intermediate number N′_(info).

In an embodiment, the first MCS table at least includes the following fields: the MCS index, the modulation order and a spectral efficiency, where the maximum target code rate of MCS having a modulation order of 1 is Se in the MCS table, Se is equal to a sum of the code rate of the mother code and ΔSe, ΔSe is a real number ranges from −0.05 and 0.03. In this embodiment, the code rate of the mother code is equal to the code rate of the mother code of the base graph 2 of the LDPC coding, which is equal to 0.2.

In an embodiment, the multiple MCS tables include: the MCS table with a maximum modulation order of 6 (corresponding to 64QAM), the MCS table with a maximum modulation order of 8 (corresponding to 256QAM), and the first MCS table. The MCS table with the maximum modulation order of 6 (corresponding to 64QAM) and the MCS table with the maximum modulation order of 8 (corresponding to 256QAM) correspond to a target BLER which is equal to 0.1, and the first MCS table corresponds to a target BLER which is not equal to 0.1. In an embodiment, the MCS table with the maximum modulation order of 6 is as shown in Table 1-2 of exemplary embodiment one, and the MCS table with the maximum modulation order of 8 is as shown in the table 1-3 in exemplary embodiment 1, the first MCS table is shown in Table 2-6. In the first MCS table, the maximum spectral efficiency of the MCS with modulation order of 1 is less than 0.20.

Performance diagrams shown in FIGS. 4A and 4B correspond to performance diagrams of BLER which is equal to 1E-3 (0.001) and 1E-5 (0.00001). In the above performance diagrams, the vertical ordinate is an efficiency value (corresponding to efficiency in the CQI table, corresponding to a spectral efficiency in the MCS table), and a row coordinate refers to a required signal-to-noise ratio in the corresponding BLER (FIG. 4A is 1E-3 and FIG. 4B is 1E-5). It can be seen that performance of QPSK and BPSK with the efficiency (or the spectral efficiency) below 0.2 are about the same. Because the BPSK has a better peak to average power ratio (PAPR), the BPSK has better performance coverage under the low spectrum efficiency.

This embodiment provides an MCS example, as shown in Table 2-9, the above MCS table includes the following fields: the MCS index, the modulation order, the target code rate, and the spectral efficiency; where the corresponding maximum target code rate of the MCS having the modulation order of 1 is 240/1024, and the corresponding MCS index is 4. The maximum spectral efficiency corresponding to the MCS with modulation order 1 is 0.2344. The number of MCSs with modulation order of 1 is 5. The number of MCSs having the modulation order of 1 is not limited to 4 and 5 described above, and the number of MCSs having the modulation order of 1 may be equal to 6, 7, 8, 9 or 10.

TABLE 2-9 MCS table example MCS Modulation Target Index Order code rate × Spectral I_(MCS) Q_(m) 1024 efficiency 0 1 80 0.0781 1 1 118 0.1152 2 1 156 0.1523 3 1 198 0.1934 4 1 240 0.2344 5 2 157 0.3066 6 2 193 0.3770 7 2 251 0.4902 8 2 308 0.6016 9 2 379 0.7402 10 2 449 0.8770 11 2 526 1.0273 12 2 602 1.1758 13 2 679 1.3262 14 4 340 1.3281 15 4 378 1.4766 16 4 434 1.6953 17 4 490 1.9141 18 4 553 2.1602 19 4 616 2.4063 20 4 658 2.5703 21 6 438 2.5664 22 6 466 2.7305 23 6 517 3.0293 24 6 567 3.3223 25 6 616 3.6094 26 6 666 3.9023 27 reserved reserved reserved 28 1 reserved 29 2 30 4 31 6

This embodiment provides an MCS example, which is shown in Table 2-10.

TABLE 2-10 MCS table example MCS Modulation Target Redundancy Index Order code Rate × Spectral Version I_(MCS) Q_(m) [1024] R efficiency rv_(idx) 0 2 40 0.0781 0 1 2 78 0.1523 0 2 2 120 0.2344 0 3 2 193 0.3770 0 4 2 308 0.6016 0 5 2 449 0.8770 0 6 2 7 4 378 1.4766 0 8 2 9 4 616 2.4063 0 10 2 11 6 567 3.3223 0 12 2 13 2 reserved 3 14 4 reserved 2 15 6 reserved 1

Exemplary Embodiment Three

A data communication processing method, applied to a communication device or a UE, includes: receiving control information from a wireless communication node, the wireless communication node includes a base station (BS), and the control information is downlink control information (DCI). The control information at least includes: modulation and coding scheme (MCS) field information; the MCS field information is applied to determine the modulation order and the target code rate from an MCS table according to the MCS field information, calculate an intermediate number N_(info) of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantize the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info); select one TBS from a one-dimensional TBS table according to the quantized intermediate number N′_(info).

The UE demodulates and decodes data from the base station according to the TBS to obtain received data with a size of TBS; or performs low density parity check code (LDPC) encoding on information bits data of a length of TBS to obtain the encoded data, and sends the encoded data to the base station.

In an embodiment, the MCS table is as follows, an MCS table example is at least one of Table 3-1 and Table 3-2, where the MCS table at least includes an MCS having a modulation order of 1. An MCS table example 3-1 is a 5-bit (32 states, i.e., 32 MCS levels) MCS table. In the MCS table, there are 4 MCSs having the modulation order of 1. An MCS table example 3-2 is 4-bit (16 states, i.e., there are 16 MCS levels) MCS table, in the above MCS table, there are 2 MCSs having the modulation order of 1.

TABLE 3-1 MCS table example 3-1 MCS Modulation Index Order code rate × I_(MCS) Q_(m) 1024 efficiency 0 1 80 0.0781 1 1 118 Average 2 1 156 0.1523 3 1 198 Average 4 2 120 0.2344 5 2 157 Average 6 2 193 0.3770 7 2 251 Average 8 2 308 0.6016 9 2 379 Average 10 2 449 0.8770 11 2 526 Average 12 2 602 1.1758 13 2 679 Average 14 4 340 Average 15 4 378 1.4766 16 4 434 Average 17 4 490 1.9141 18 4 553 Average 19 4 616 2.4063 20 4 658 Average 21 6 438 Average 22 6 466 2.7305 23 6 517 Average 24 6 567 3.3223 25 6 616 Average 26 6 666 3.9023 27 reserved reserved reserved 28 1 reserved 29 2 30 4 31 6

TABLE 3-2 MCS table example 3-2 MCS Modulation Index Order code rate × I_(MCS) Q_(m) 1024 efficiency 0 1 80 0.0781 1 1 156 0.1523 2 2 120 0.2344 3 2 193 0.3770 4 2 308 0.6016 5 2 449 0.8770 6 2 602 1.1758 7 4 378 1.4766 8 4 490 1.9141 9 4 616 2.4063 10 6 466 2.7305 11 6 567 3.3223 12 6 666 3.9023 13 2 reserved 14 4 15 6

In this embodiment, the MCS table may also be described as follows. The MCS table includes at least one of the following features: the target code rate corresponding to the MCS having the modulation order of 1 in the above-mentioned MCS table at least includes one of the following values: 108, 150, 192, and 265, and at least includes one of the following values: 80, 118, 156, and 198. This embodiment provides an MCS table example as shown in Table 3-3. The MCS table at least includes an MCS having the modulation order of 1 and the maximum modulation order is 6. The maximum modulation order of the MCS table may also be equal to 4 or 8.

TABLE 3-3 MCS table example 3-3 MCS Modulation Index Order code rate × I_(MCS) Q_(m) 1024 efficiency 0 1 80 0.0781 1 1 108 0.1055 2 1 150 0.1465 3 1 192 0.1875 4 2 54 0.1055 5 2 75 0.1465 6 2 96 0.1875 7 2 133 0.2588 8 2 169 0.3301 9 2 227 0.4424 10 2 284 0.5547 11 2 355 0.6924 12 2 425 0.8301 13 2 502 0.9795 14 4 340 Average 15 4 378 1.4766 16 4 434 Average 17 4 490 1.9141 18 4 553 Average 19 4 616 2.4063 20 4 658 Average 21 6 438 Average 22 6 466 2.7305 23 6 517 Average 24 6 567 3.3223 25 6 616 Average 26 6 666 3.9023 27 reserved reserved reserved 28 1 reserved 29 2 30 4 31 6

In this embodiment, the MCS table may also be described as follows. The MCS table includes at least one of the following features: the target code rate corresponding to the MCS having the modulation order of 1 in the above-mentioned MCS table at least includes one of the following values: 60, 108, 140, 172 and 212 and at least includes one of the following values: 80, 200, 128, 154 and 40. This embodiment provides an MCS table example as shown in Table 3-4. The MCS table at least includes an MCS having the modulation order of 1 and the maximum modulation order is 4. The maximum modulation order of the MCS table may also be equal to 6 or 8.

TABLE 3-4 MCS table example 3-4 MCS Modulation Index Order code rate × I_(MCS) Q_(m) 1024 efficiency 0 1 60 0.0586 1 1 80 0.0781 2 1 108 0.1055 3 1 140 0.1367 4 2 30 0.0586 5 2 40 0.0781 6 2 54 0.1055 7 2 70 0.1367 8 2 86 0.1680 9 2 106 0.2061 10 2 125 0.2441 11 2 150 0.2930 12 2 175 0.3418 13 2 206 0.4014 14 2 236 0.4609 15 2 273 0.5322 16 2 309 0.6035 17 2 350 0.6826 18 2 390 0.7617 19 2 435 0.8496 20 2 480 0.9375 21 2 528 1.0313 22 2 576 1.1250 23 2 604 1.1797 24 4 316 1.2344 25 4 351 1.3691 26 4 385 1.5039 27 4 422 1.6465 28 4 458 1.7891 29 2 30 4 31 6

Exemplary Embodiment Four

A data communication processing method, applied to a wireless communication node (a base station), includes: generating control information of a communication device related to a wireless communication node, the control information at least includes modulation and coding scheme (MCS) field information; the MCS field information is applied to determine the modulation order and the target code rate from an MCS table according to the MCS field information, calculate an intermediate number N_(info) of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantize the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info); select one TBS from a one-dimensional TBS table according to the quantized intermediate number N′_(info).

The wireless communication node demodulates and decodes data from the communication device (or the UE) according to the TBS to obtain received data with a size of TBS; or performs low density parity check code (LDPC) encoding on information bits data of a length of TBS to obtain the encoded data, and sends the encoded data and the control information to the communication device (or the UE); or sends the control information to the communication device (or the UE).

The quantization calculation is performed on the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info), as the quantization method described above in exemplary embodiment 1, which will not be repeated here. And in the determining the modulation order and the target code rate from the MCS table according to the MCS field information, the above MCS table is as the MCS table in exemplary embodiment 2 or exemplary embodiment 3, which will not be repeated here.

Embodiment Two

The embodiment further provides a data communication processing device. The device is used for implementing the embodiments described above and exemplary embodiments. What has been described will not be repeated. As used below, the term “module” may be software, hardware or a combination thereof capable of implementing predetermined functions. The device described below in the embodiment may be implemented by software, but implementation by hardware or by a combination of software and hardware is also possible and conceived.

FIG. 5 is a structural block diagram of a data communication processing device provided by an embodiment. As shown in FIG. 5 , the device includes a first acquisition module 52, a calculation module 54, a second acquisition module 56 and a first determination module 58 described below.

1) A first acquisition module 52 is configured to acquire a modulation order and a target code rate.

2) A calculation module 54 is configure to calculate an intermediate number N_(info) of information bits at least according to a total number of resource elements, the modulation order and the target code rate.

3) The second acquisition module 56 is configured to quantize the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info).

4) The first determination module 58 is configured to determine a transport block size (TBS) according to the quantized intermediate number N′_(info).

In an embodiment, the first determination module 58 is configured to select a TBS from a one-dimensional TBS table according to the quantized intermediate number N′_(info).

Through the device shown in FIG. 5 , the modulation order and the target code rate are acquired, the intermediate number N_(info) of the information bits at least according to the total number of resource elements, the modulation order and the target code rate are calculated; the intermediate number N_(info) of the information bits is quantized to obtain the quantized intermediate number N′_(info); and the transport block size (TBS) is determined according to the quantized intermediate number N′_(info). The problem that the communication system in the related art cannot effectively support low-latency and high-reliability communication is solved, and the technical effect of low-latency and high-reliability communication between the base station and the terminal is achieved.

In an embodiment, the first acquisition module 52 is configured to receive control information from a wireless communication node, where the control information includes at least: modulation and coding scheme (MCS) field information; and determining the modulation order and the target code rate from the MCS table according to the MCS field information, which solves the problem that the TBS calculated at a higher MCS level in the related art leads to the actual effective code rate being greater than 0.95.

The embodiment further provides another data communication processing device. The device is configured to implement the embodiments described above and exemplary embodiments. What has been described will not be repeated. As used below, the term “module” may be software, hardware or a combination thereof capable of implementing predetermined functions. The device described below in the embodiments is implemented by software, but implementation by hardware or by a combination of software and hardware is also possible and conceived.

FIG. 6 is a structural block diagram of another data communication processing device provided by an embodiment. The device is applied to a terminal. As shown in FIG. 6 , the device includes a second determination module 62, a second calculation module 64, a third acquisition module 66 and a third determination module 68 described below.

1) The second determination module 62 is configured to determine a modulation order and a target code rate.

2) The second calculation module 64 is configure to calculate an intermediate number N_(info) of information bits at least according to a total number of resource elements, the modulation order and the target code rate.

3) The third acquisition module 66 is configured to quantize the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info).

4) The third determination module 68 is configured to determine a transport block size (TBS) according to the quantized intermediate number N′_(info).

In an embodiment, the third determination module 68 is configured to select a TBS from a one-dimensional TBS table according to the quantized intermediate number N′_(info).

Through FIG. 6 , the modulation order and the target code rate are determined, the intermediate number N_(info) of the information bits is calculated at least according to the total number of resource elements, the modulation order and the target code rate; the intermediate number N_(info) of the information bits is quantized to obtain the quantized intermediate number N′_(info); and the transport block size (TBS) is determined according to the quantized intermediate number N′_(info). The problem that the communication system in the related art cannot effectively support low-latency and high-reliability communication is solved, and the technical effect of low-latency and high-reliability communication between the base station and the terminal is achieved.

In an embodiment, the second determination module 62 is configured to generate control information of a communication device related to a wireless communication node, where the control information at least includes: modulation and coding scheme (MCS) field information; determine the modulation order and the target code rate from an MCS table according to the MCS field information, which solves the problem that the TBS calculated at a higher MCS level in the related art leads to the actual effective code rate being greater than 0.95.

In an embodiment, the step in which the intermediate number N_(info) of the information bits is quantized to obtain the quantized intermediate number N′_(info) includes: quantizing the intermediate number N_(info) according to the following formula:

${N_{info}^{\prime} = {\max\left( {{24},{2^{n}*\left\lfloor \frac{N_{info} - {Offset}}{2^{n}} \right\rfloor}} \right)}},$ where the Offset is determined according to the intermediate number N_(info), and n=max(3, └log₂(N_(info))┘−6).

In an embodiment, the step in which the intermediate number N_(info) of the information bits is quantized to obtain the quantized intermediate number N′_(info) includes: quantizing the intermediate number N_(info) according to the following formula

${N_{info}^{\prime} = {{\max\left( {{24},{2^{n}*\left\lfloor \frac{N_{info}}{2^{n}} \right\rfloor}} \right)} - {Offset}}},$ where the Offset is determined according to the intermediate number N_(info), and n=max(3, └log₂(N_(info))┘−6).

In an embodiment, the Offset is equal to a positive integer times an nth power of 2, n=max (3, └log₂(N_(info))┘−6), the positive integer is equal to 1, 2, 3, 4, 5 or 6.

In an embodiment, the step in which the intermediate number N_(info) of the information bits is quantized to obtain the quantized intermediate number N′_(info) includes: quantizing the intermediate number N_(info) according to the following formula

${N_{info}^{\prime} = {{\max\left( {{24},{2^{n}*\left\lfloor {\frac{N_{info}}{2^{n}} - \alpha} \right\rfloor}} \right)}\mspace{14mu}{or}}}\;$ ${{N_{info}^{\prime} = {\max\left( {{24},{2^{n}*\left( {\left\lfloor \frac{N_{info}}{2^{n}} \right\rfloor - \alpha} \right)}} \right)}},}\mspace{14mu}$ where n=max (3, └log₂(N_(info))┘−6), α is equal to 1, 2, 3, 4, 5 or 6.

In an embodiment, the intermediate number N_(info) of the information bits is less than or equal to a preset threshold, where the preset threshold is equal to 3824, 3816, 3840, or 3896.

In an embodiment, the above device further includes: a table determination module, which is configured to determine the MCS table from multiple MCS tables according to higher layer signaling.

In an embodiment, the multiple MCS tables at least includes one MCS table, where the one MCS table includes at least the following fields: an MCS index, a modulation order, and a target code rate. Where a maximum target code rate among all MCSs having a modulation order of 1 in the one MCS table is equal to a sum of a code rate of mother code and Δa, where Δa is a real number ranges −0.08 from 0.08.

In an embodiment, the multiple MCS tables at least includes one MCS table, where the one MCS table includes at least the following fields: an MCS index, a modulation order, a target code rate and a spectral efficiency, where a redundancy version corresponding to an MCS with the spectral efficiency less than Δs in the one MCS table is only RV0, and redundancy versions corresponding to an MCS with the spectral efficiency greater than Δs in the one MCS table are only RV0 and RV2. Where Δs is a real number greater than 0.65 and less than 0.85.

In an embodiment, the multiple MCS tables at least includes one MCS table, where the one MCS table comprises at least the following fields: an MCS index, a modulation order, and a target code rate; where in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is less than a sum of a mother code and Δb is only RV0, where Δb is a positive real number less than or equal to 0.1.

In an embodiment, in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is greater than the sum of the mother code and Δb, and is less than a sum of twice of the code rate of the mother code and Δc includes: {RV0, RV2}, where Δb is a positive real number less than or equal to 0.1, and Δc is a positive real number less than or equal to 0.1.

In an embodiment, in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is greater than the sum of twice of the code rate of the mother code and Δc includes: {RV0, RV2, RV3}, {RV0, RV2, RV1} or {RV0, RV2, RV3, RV1}, where Δc is a positive real number less than or equal to 0.1.

In an embodiment, the code rate of the mother code is equal to 0.2.

In an embodiment, the multiple MCS tables at least includes one MCS table, where in one MCS table, the number of MCS only supports RV0 is 3 or 4.

In an embodiment, the multiple MCS tables at least includes one MCS table, where in one MCS table, the number of MCS only supports RV0 and RV2 is 4 or 5.

In an embodiment, the multiple MCS tables at least includes one MCS table, where in one MCS table, a target code rate of MCS with an 0 index is 80/1024; and/or a target code rate of MCS with an 1 index is 156/1024.

In an embodiment, the multiple MCS tables include at least one MCS table, where the one MCS table includes at least the following fields: an MCS index, the modulation order, the target code rate and a redundancy version number.

In an embodiment, the MCS table at least includes the following fields: the MCS index and the modulation order, the number of MCSs having a modulation order of 1 is 4, 5 and 6.

In an embodiment, the MCS table at least includes the following fields: the MCS index, the modulation order and the target code rate, the maximum target code rate of MCS having a modulation order of 1 is 198/1024 or 240/1024.

In an embodiment, the MCS table at least includes the following fields: the MCS index and the spectral efficiency, the maximum target code rate of MCS having a modulation order of 1 is 0.1934 or 0.2344.

The various modules described above may be implemented by software or hardware. Implementation by hardware may, but may not necessarily, be performed in the following manner: the various modules described above are located in a same processor or located in different processors in any combination form.

Embodiment Three

An embodiment of the present disclosure further provides a storage medium. The storage medium is configured to store computer programs which, when run, execute the steps of any one of the above-mentioned method embodiments.

In this embodiment, the storage medium may be configured to store computer programs for executing the following steps:

acquiring a modulation order and a target code rate; calculating an intermediate number N_(info) of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info); determining a transport block size (TBS) according to the quantized intermediate number N′_(info).

In an embodiment, the storage medium is further configured to store computer programs for executing the following steps: determining a modulation order and a target code rate; calculating an intermediate number N_(info) of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number N′_(info) of the information bits to obtain the quantized intermediate number N′_(info); and determining a transport block size (TBS) according to the quantized intermediate number N′_(info).

In an embodiment, the storage medium described above may include, but is not limited to, a USB flash disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk, an optical disk or another medium capable of storing computer programs.

An embodiment of the present disclosure further provides an electronic apparatus, including a memory and a processor, where the memory is configured to store computer programs and the processor is configured to execute the computer programs for executing the steps in any one of the method embodiments described above.

In one embodiment, the electronic device described above may further include a transmission device and an input/output device, where both the transmission device and the input/output device are connected to the processor described above.

In an embodiment, the processor may be further configured to store computer programs for executing the following steps: acquiring a modulation order and a target code rate; calculating a intermediate number N_(info) of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info); determining a transport block size (TBS) according to the quantized intermediate number N′_(info).

In an embodiment, the electronic device is further configured to store computer programs for executing the following steps: determining a modulation order and a target code rate; calculating an intermediate number N_(info) of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number N_(info) of the information bits to obtain the quantized intermediate number N′_(info); and determining a transport block size (TBS) according to the quantized intermediate number N′_(info).

For specific examples in the embodiment, reference may be made to the examples described in the embodiments and exemplary implementation modes described above, and the examples will not be repeated in the embodiment.

At least one module or at least one step of the present disclosure described in above embodiments may be implemented by a general computing apparatus, and the at least one module or at least one step described above may be concentrated on a single computing apparatus or distributed on a network composed of multiple computing apparatuses.

In an embodiment, at least one module or at least one step may be implemented by program codes executable by the computing apparatuses, so that they may be stored in a storage apparatus to be executed by the computing apparatuses. In some circumstances, the illustrated or described steps may be executed in sequences different from those described herein, or the at least one module or at least one step may be separately made into at least one integrated circuit module, or multiple modules or steps therein may be made into a single integrated circuit module for implementation. In this way, the present disclosure is not limited to any specific combination of hardware and software. 

What is claimed is:
 1. A data communication processing method, applied to a communication device, comprising: acquiring a modulation order and a target code rate; calculating an intermediate number N_(info) of information bits according to a total number of resource elements, the modulation order and the target code rate; and quantizing the intermediate number N_(info) of the information bits to obtain a quantized intermediate number N′_(info); and determining a transport block size, TBS, according to the quantized intermediate number N′_(info), wherein the acquiring the modulation order and the target code rate comprises: receiving control information from a wireless communication node, wherein the control information comprises: modulation and coding scheme, MCS, field information; and determining the modulation order and the target code rate from an MCS table according to the MCS field information; wherein the MCS table comprises the following fields: an MCS index, the modulation order and the target code rate; wherein a maximum target code rate corresponding to the MCS having a modulation order of 1 is a ratio of 198 to
 1024. 2. The method of claim 1, further comprising: determining the MCS table from a plurality of MCS tables according to higher layer signaling.
 3. The method of claim 2, wherein the plurality of MCS tables at least comprises one MCS table, wherein the one MCS table comprises at least the following fields: an MCS index, a modulation order, and a target code rate; wherein a maximum target code rate among all MCSs having a modulation order of 1 in the one MCS table is equal to a sum of a code rate of a mother code and Δa, wherein Δa is a real number greater than −0.08 and less than 0.08, and wherein the code rate of the mother code is equal to 0.2.
 4. A data communication processing method, applied to a radio communication node, comprising: determining a modulation order and a target code rate; calculating an intermediate number N_(info) of information bits according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number N_(info) of the information bits to obtain a quantized intermediate number N′_(info); and determining a transport block size, TBS, according to the quantized intermediate number N′_(info), wherein the determining the modulation order and the target code rate comprises: generating control information of a communication device related to a wireless communication node, wherein the control information comprises: modulation and coding scheme, MCS, field information; and determining the modulation order and the target code rate from an MCS table according to the MCS field information; wherein the MCS table comprises at least the following fields: an MCS index, the modulation order and the target code rate; wherein a maximum target code rate corresponding to the MCS having a modulation order of 1 is a ratio of 198 to
 1024. 5. The method of claim 4, further comprising: determining the MCS table from a plurality of MCS tables according to higher layer signaling.
 6. The method of claim 5, wherein the plurality of MCS tables at least comprises one MCS table, wherein the one MCS table comprises at least the following fields: an MCS index, a modulation order, and a target code rate; wherein a maximum target code rate among all MCSs having a modulation order of 1 in the one MCS table is equal to a sum of a code rate of mother code and Δa, wherein Δa is a real number ranges −0.08 from 0.08, and wherein the code rate of the mother code is equal to 0.2.
 7. An electronic apparatus, comprising a processor, wherein the processor is configured to perform: acquiring a modulation order and a target code rate; calculating an intermediate number N_(info) of information bits according to a total number of resource elements, the modulation order and the target code rate; and quantizing the intermediate number N_(info) of the information bits to obtain a quantized intermediate number N′_(info); and determining a transport block size, TBS, according to the quantized intermediate number N′_(info), wherein the processor is configured to perform acquiring the modulation order and the target code rate, by performing: receiving control information from a wireless communication node, wherein the control information comprises: modulation and coding scheme, MCS, field information; and determining the modulation order and the target code rate from an MCS table according to the MCS field information; wherein the MCS table comprises the following fields: an MCS index, the modulation order and the target code rate; wherein a maximum target code rate corresponding to the MCS having a modulation order of 1 is a ratio of 198 to
 1024. 8. The electronic apparatus of claim 7, wherein the processor is configured to perform: determining the MCS table from a plurality of MCS tables according to higher layer signaling.
 9. The electronic apparatus of claim 8, wherein the plurality of MCS tables at least comprises one MCS table, wherein the one MCS table comprises at least the following fields: an MCS index, a modulation order, and a target code rate; wherein a maximum target code rate among all MCSs having a modulation order of 1 in the one MCS table is equal to a sum of a code rate of a mother code and Δa, wherein Δa is a real number greater than −0.08 and less than 0.08, and wherein the code rate of the mother code is equal to 0.2.
 10. An electronic apparatus, comprising a processor, wherein the processor is configured to perform: determining a modulation order and a target code rate; calculating an intermediate number N_(info) of information bits according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number N_(info) of the information bits to obtain a quantized intermediate number N′_(info); and determining a transport block size, TBS, according to the quantized intermediate number N′_(info), wherein the processor is configured to perform determining the modulation order and the target code rate, by performing: generating control information of a communication device related to a wireless communication node, wherein the control information comprises: modulation and coding scheme, MCS, field information; determining the modulation order and the target code rate from an MCS table according to the MCS field information; wherein the MCS table comprises at least the following fields: an MCS index, the modulation order and the target code rate; wherein a maximum target code rate corresponding to the MCS having a modulation order of 1 is a ratio of 198 to
 1024. 11. The electronic apparatus of claim 10, wherein the processor is configured to perform: determining the MCS table from a plurality of MCS tables according to higher layer signaling.
 12. The electronic apparatus of claim 11, wherein the plurality of MCS tables at least comprises one MCS table, wherein the one MCS table comprises at least the following fields: an MCS index, a modulation order, and a target code rate; wherein a maximum target code rate among all MCSs having a modulation order of 1 in the one MCS table is equal to a sum of a code rate of mother code and Δa, wherein Δa is a real number ranges −0.08 from 0.08, and wherein the code rate of the mother code is equal to 0.2. 